Long Trade on AAVE 18 May 2025 at 14:59:11
Take profit at 233.3394 (1.57 %) and Stop Loss at 227.3237 (1.05 %)
Long Trade on AAVE 18 May 2025 at 14:59:11
Take profit at 233.3394 (1.57 %) and Stop Loss at 227.3237 (1.05 %)
Position size of 763.7711 $
Take profit at 233.3394 (1.57 %) and Stop Loss at 227.3237 (1.05 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.63 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.47 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.723353 |
Indicators:
104700
-0.00224201
104466
0.723353
104034
0.00414768
104466
103557
0.0087772
104466
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 14:59:11 |
18 May 2025 15:30:00 |
30 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 229.73 | 227.3237 | 233.3394 | 1.5 | 114.48 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 227.3237 - 229.73 = -2.4063
Récompense (distance jusqu'au take profit):
E - TP = 229.73 - 233.3394 = -3.6094
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -3.6094 / -2.4063 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 763.7711 | 100 | 3.3246 | 7.64 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -2.4063 = -3.32
Taille de position USD = -3.32 x 229.73 = -762.7
Donc, tu peux acheter -3.32 avec un stoploss a 227.3237
Avec un position size USD de -762.7$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -3.32 x -2.4063 = 7.99
Si Stop Loss atteint, tu perdras 7.99$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -3.32 x -3.6094 = 11.98
Si Take Profit atteint, tu gagneras 11.98$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.57 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.05 % | 8 $ |
| PNL | PNL % |
|---|---|
| -7.98 $ | -1.04 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1493252067915 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 233.3
[entry_price] => 229.7
[stop_loss] => 227.06
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 15:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 233.3
[entry_price] => 229.7
[stop_loss] => 226.82
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 15:40:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 233.3
[entry_price] => 229.7
[stop_loss] => 226.58
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 15:40:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 233.3
[entry_price] => 229.7
[stop_loss] => 226.1
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 15:45:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 1.52
[max_drawdown] => 11.41
[rr_ratio] => 0.13
[high] => 231.25000000
[low] => 218.32000000
[mfe_pct] => 0.66
[mae_pct] => 4.97
[mfe_mae_ratio] => 0.13
[candles_analyzed] => 24
[start_at] => 2025-05-18T14:59:11-04:00
[end_at] => 2025-05-18T16:59:11-04:00
)
[long_term] => Array
(
[max_gain] => 5.06
[max_drawdown] => 11.41
[rr_ratio] => 0.44
[high] => 234.79000000
[low] => 218.32000000
[mfe_pct] => 2.2
[mae_pct] => 4.97
[mfe_mae_ratio] => 0.44
[candles_analyzed] => 72
[start_at] => 2025-05-18T14:59:11-04:00
[end_at] => 2025-05-18T20:59:11-04:00
)
[breakout] => Array
(
[high_before] => 244.18000000
[high_after] => 234.79000000
[low_before] => 229.40000000
[low_after] => 218.32000000
[is_new_high] =>
[is_new_low] =>
)
)